The Design, Development and Validation of a Persuasive Content Generator

Authors

Sam Khataei, Carleton UniversityFollow
Michael J. Hine, Carleton UniversityFollow
Ali Arya, Carleton UniversityFollow

Document Type

Article

Abstract

This paper addresses the automatic generation of persuasive content to influence users’ attitude and behaviour. Our research extends current approaches by leveraging individuals’ social media profiles and activity to personalize the persuasive content. Unlike most other implemented persuasive technology, our system is generic and can be adapted to any domain where collections of electronic text are available. Using the Yale Attitude Change approach, we describe: the multi-layered Pyramid of Individualization model; the design, development, and validation of integrated software that can generate individualized persuasive content based on a user’s social media profile and activity. Results indicate the proposed system can create personalized information that (a) matches readers’ interests, (b) is tailored to their ability to understand the information, and (c) is supported by trustable sources.

Recommended Citation

Khataei, Sam; Hine, Michael J.; and Arya, Ali (2021) "The Design, Development and Validation of a Persuasive Content Generator," Journal of International Technology and Information Management: Vol. 29: Iss. 3, Article 3.
DOI: https://doi.org/10.58729/1941-6679.1460
Available at: https://scholarworks.lib.csusb.edu/jitim/vol29/iss3/3